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04/21/2023
SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation
We present SSS3D, a fast multi-objective NAS framework designed to find ...
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03/28/2023
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation
We present FMAS, a fast multi-objective neural architecture search frame...
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12/25/2022
BD-KD: Balancing the Divergences for Online Knowledge Distillation
Knowledge distillation (KD) has gained a lot of attention in the field o...
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09/15/2022
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation
Knowledge distillation (KD) is an effective tool for compressing deep cl...
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08/03/2022
Efficient Fine-Tuning of Compressed Language Models with Learners
Fine-tuning BERT-based models is resource-intensive in memory, computati...
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05/03/2022
Efficient Fine-Tuning of BERT Models on the Edge
Resource-constrained devices are increasingly the deployment targets of ...
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02/05/2021
Worst-Case Execution Time Calculation for Query-Based Monitors by Witness Generation
Runtime monitoring plays a key role in the assurance of modern intellige...
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06/02/2020
Surprisal-Triggered Conditional Computation with Neural Networks
Autoregressive neural network models have been used successfully for seq...
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09/28/2018
Learning Recurrent Binary/Ternary Weights
Recurrent neural networks (RNNs) have shown excellent performance in pro...
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11/07/2016